KR101621890B1 - Method of analysis the machined surface by machine tool - Google Patents
Method of analysis the machined surface by machine tool Download PDFInfo
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- KR101621890B1 KR101621890B1 KR1020150052359A KR20150052359A KR101621890B1 KR 101621890 B1 KR101621890 B1 KR 101621890B1 KR 1020150052359 A KR1020150052359 A KR 1020150052359A KR 20150052359 A KR20150052359 A KR 20150052359A KR 101621890 B1 KR101621890 B1 KR 101621890B1
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- machine tool
- machining
- surface roughness
- frequency
- time
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/30—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring roughness or irregularity of surfaces
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/20—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring workpiece characteristics, e.g. contour, dimension, hardness
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B5/00—Measuring arrangements characterised by the use of mechanical techniques
- G01B5/28—Measuring arrangements characterised by the use of mechanical techniques for measuring roughness or irregularity of surfaces
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Length Measuring Devices With Unspecified Measuring Means (AREA)
Abstract
The present invention relates to a method for analyzing the quality of a machined surface capable of finding a problem during machining by analyzing the roughness of the machined surface by fusing the data of the roughness data and the machining conditions of the machined surface, (S1) of measuring the surface roughness of the workpiece; A step S2 of calculating a length per step between the measurement length L of the surface roughness and the number ND of measurement data and a feed speed of the machine tool at the time of machining in millimeters per second (S-time) with respect to the distance between the measurement data is calculated (S3), and the actual machining time (s-time) with respect to the distance between the measurement data calculated in the step S3 is sampled (S4) converting the surface roughness data into s-frequency, and performing a fast fourier transform (FFT) analysis of surface roughness data using the sampling frequency (s-frequency) to detect a dominant frequency region Step S5; And analyzing a problem of the machine tool by comparing the detected frequency region with a dominant frequency region due to various problems during processing of the machine tool (S6).
Description
More particularly, the present invention relates to a method of analyzing the machining quality of a workpiece by a machine tool, and more particularly, to a method of analyzing machining quality of a workpiece by a machine tool, The present invention relates to a method for analyzing the quality of a machined surface for confirming a machining quality of a machine tool capable of finding a problem during machining through analysis of the machining surface.
In general, when machining is performed using a machine tool, the performance of the machine tool is measured through the machined surface of the workpiece. Normally, the roughness of the processed surface is measured by using the surface roughness measuring apparatus, and the roughness is confirmed by the parameters such as the average value and the maximum value of the surface roughness.
A conventional surface roughness measuring apparatus measures the surface by bringing a
Values representing the surface roughness are measured and calculated by measuring the arithmetic mean value, the maximum height, and the 10-point average roughness.
In order to measure the performance of the machine tool through the machined surface, it is possible to measure only the absolute value of the roughness by measuring the surface roughness using the surface roughness measuring device. When the problem occurs on the machined surface, I can not. Therefore, it is necessary to analyze the cause of the subjective method based on additional visual analysis and experience, so there is a problem that it takes much time and effort to measure the quality of the processed surface.
If the contents of the problem occur during machining through the analysis of the machined surface of the workpiece after machining the workpiece with the machine tool, the surface roughness measurement and the procedure of another cause analysis may not be performed in the future. In order to find the cause of the problem during the machining through the machined surface roughness, it is necessary to integrate the surface roughness data and the machining condition data.
Accordingly, it is an object of the present invention to provide a method for analyzing quality of a machined surface by fusing roughness data of a machined surface and data of machining conditions to find a problem during machining by analyzing the roughness of the machined surface.
According to another aspect of the present invention, there is provided a method for analyzing quality of a machined surface for confirming machining quality of a machine tool,
(a) measuring a surface roughness of a workpiece;
(b) calculating a sampling frequency (s-frequency) in the machine tool through the measurement length L of the surface roughness, the number of measurement data ND, and the feed rate of the machine tool (mm / sec);
(c) performing a fast fourier transform (FFT) analysis of surface roughness data using the sampling frequency (s-frequency) to detect a dominant frequency region; And,
(d) comparing the detected frequency range with a dominant frequency range due to various problems during processing of the machine tool stored in the controller of the surface roughness measuring apparatus, to analyze the problem of the machine tool do.
According to another aspect of the present invention, there is provided a method for analyzing quality of a machining surface for confirming machining quality of a machine tool,
(a) measuring a surface roughness of a workpiece;
(b) calculating a length per step between data through the measured length L of the surface roughness and the number of measurement data ND,
(c) calculating the actual machining time (s-time) with respect to the distance between the measurement data through the feed rate (mm / sec) of the machine tool at the machining step
(d) converting the actual machining time (s-time) to the distance between the measurement data calculated in the step (c) into a sampling frequency (s-frequency)
(e) performing a fast fourier transform (FFT) analysis of the surface roughness data using the sampling frequency (s-frequency) to detect a dominant frequency region; And,
(f) analyzing a problem of the machine tool by comparing the detected frequency region with a dominant frequency region due to various problems during processing of the machine tool stored in the controller of the surface roughness measuring apparatus do.
According to the present invention, it is possible to immediately find a problem during processing by analyzing the surface roughness of the workpiece by fusing the data of the roughness data and the data of the machining conditions on the surface of the workpiece. Therefore, since it is not necessary to analyze the cause of the subjective method based on the additional visual inspection and experience after measuring the surface roughness, the time and effort required for measuring and analyzing the quality of the processed surface can be greatly reduced.
1 is a view showing a state in which surface roughness of a workpiece is measured using a surface roughness measuring apparatus.
2 is a flowchart illustrating a method for analyzing quality of a machining surface for confirming machining quality of a machine tool according to an embodiment of the present invention.
3 is a graph showing measurement data generated when the surface roughness of the workpiece is measured by the surface roughness measuring apparatus.
4 is a graph showing an example of a fast Fourier transform (FFT) result of a sampling frequency for surface roughness measurement data generated by the surface roughness measuring apparatus of the present invention.
5 is a graph showing FFT results when a run-out phenomenon occurs in a machine tool.
6 is a graph showing an FFT result when a bearing defect occurs in a machine tool.
7 is a graph showing FFT results when chattering of a machine tool is generated.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a method for analyzing quality of a machined surface for confirming machining quality of a machine tool according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.
Referring to FIG. 2, a method for analyzing the quality of a machined surface for confirming a machining quality of a machine tool according to an embodiment of the present invention includes: (S1) measuring a surface roughness of a workpiece; A step S2 of calculating a length per step between the measurement length L of the surface roughness and the number ND of measurement data and a feed speed of the machine tool at the time of machining in millimeters per second (S-time) with respect to the distance between the measurement data is calculated (S3), and the actual machining time (s-time) with respect to the distance between the measurement data calculated in the step S3 is sampled (S4) converting the surface roughness data into s-frequency, and performing a fast fourier transform (FFT) analysis of surface roughness data using the sampling frequency (s-frequency) to detect a dominant frequency region Step S5; The detected frequency region is compared with a dominant frequency region due to various problems during processing of the machine tool to analyze the problem of the machine tool (S6).
First, in step S1, the surface of the workpiece is measured by bringing the stylus of the surface roughness measuring device into contact with the work surface of the workpiece and moving the workpiece by a predetermined distance L at a feed speed v (mm / sec) Reference).
At this time, the surface roughness measurement data measured by the surface roughness measuring apparatus is composed of very short point data as shown in Fig.
When the surface roughness measurement data on the machined surface of the workpiece is obtained by the surface roughness measuring apparatus as described above, the measurement length L of the surface roughness and the number of measurement data (ND) (Mm / data) (step S2).
Knowing the feed speed of the machine tool when machining the machined surface, it is possible to know how long the machining time (step length) between the measurement data calculated in step S2 has been machined during actual machining. In this manner, the actual machining time (s-time) with respect to the distance between the measurement data is calculated by the equation (2) through the feed rate (mm / sec) of the machine tool during machining (step S3).
The actual machining time (s-time) with respect to the distance between the measurement data calculated in the step S3 is converted into a sampling frequency (s-frequency) in the machine tool by the equation (3) (step S4).
As described above, measurement data can be represented at the sampling frequency (s-frequency) during processing through the surface roughness data and the processing condition data, and the fast fourier transform (FFT) analysis of the surface roughness data To detect a dominant frequency region as shown in FIG.
As described above, if the surface roughness data can be subjected to fast Fourier transform (FFT) based on processing conditions, a dominant frequency region due to a problem in the case of a problem during processing can be identified (step S5).
For example, FIG. 5 shows a region of the dominant surface frequency when a run-out phenomenon occurs due to the inconsistency between the center of the spindle of the machine tool and the center of the tool. The frequency range of 400 Hz must be large, but the runout occurs and the region of 100 Hz appears the largest.
Figure 6 also shows the FFT analysis of surface roughness when bearing defects occur. The largest frequency range shows that 32 Hz, the difference between the bearing fault frequency and the tool rotation frequency multiplication component, appears on the surface.
7 is an FFT analysis of surface roughness when chatter occurs. It can be seen that the greatest frequency range occurs at frequencies much lower than the rotational frequency of the tool.
The results of the FFT analysis of the surface roughness according to various problems of the machine tool are stored in advance in the controller of the surface roughness measuring apparatus and the result of the FFT analysis of the sampling frequency at the processing, Can be analyzed and displayed during the machining of the machine tool by comparing the frequency domain with the FFT analysis results of various problems of the machine tool stored in the controller.
As described above, according to the present invention, it is possible to immediately find a problem during processing by analyzing the roughness of the processed surface by fusing the roughness data and the machining condition data of the processed surface of the work. Therefore, since it is not necessary to analyze the cause of the subjective method based on the additional visual inspection and experience after measuring the surface roughness, the time and effort required for the quality measurement and analysis of the processed surface can be greatly reduced.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the present invention as defined by the appended claims. And it is to be understood that such modified embodiments belong to the scope of protection of the present invention defined by the appended claims.
1: Stylus 2: Surface roughness detector
Claims (6)
(b) calculating a sampling frequency (s-frequency) in the machine tool through the measurement length L of the surface roughness, the number of measurement data ND, and the feed rate of the machine tool (mm / sec);
(c) performing a fast fourier transform (FFT) analysis of surface roughness data using the sampling frequency (s-frequency) to detect a dominant frequency region; And,
(d) comparing the detected frequency range with a dominant frequency range due to various problems during processing of the machine tool stored in the controller of the surface roughness measuring apparatus, to analyze the problem of the machine tool A method for analyzing the quality of machined surfaces for confirming machining quality.
Calculating a length per step between the measurement length (L) of the surface roughness and the number of measurement data (ND);
Calculating actual machining time (s-time) with respect to a distance between measurement data through a feed speed (mm / sec) of the machine tool at the time of machining;
Converting an actual machining time (s-time) to a distance between the measurement data to a sampling frequency (s-frequency);
Wherein the quality of the machined surface is verified.
A method for analyzing quality of a machined surface for confirming machining quality of a machine tool, which is calculated by Equation (1).
Wherein the machining surface quality is calculated by Equation (2).
Wherein the machining surface quality is calculated by Equation (3).
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| KR1020150052359A KR101621890B1 (en) | 2015-04-14 | 2015-04-14 | Method of analysis the machined surface by machine tool |
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| KR1020150052359A KR101621890B1 (en) | 2015-04-14 | 2015-04-14 | Method of analysis the machined surface by machine tool |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004142007A (en) | 2002-10-23 | 2004-05-20 | Fuji Seisakusho:Kk | Method and system for inspecting blasting condition |
| JP2011069680A (en) | 2009-09-25 | 2011-04-07 | Ngk Insulators Ltd | Surface roughness measuring device and surface roughness measuring method |
| KR101329996B1 (en) | 2012-08-08 | 2013-11-15 | 한밭대학교 산학협력단 | Manufacturing information extraction method and equipment, machine tool monitoring method and system using the same |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004142007A (en) | 2002-10-23 | 2004-05-20 | Fuji Seisakusho:Kk | Method and system for inspecting blasting condition |
| JP2011069680A (en) | 2009-09-25 | 2011-04-07 | Ngk Insulators Ltd | Surface roughness measuring device and surface roughness measuring method |
| KR101329996B1 (en) | 2012-08-08 | 2013-11-15 | 한밭대학교 산학협력단 | Manufacturing information extraction method and equipment, machine tool monitoring method and system using the same |
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